PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah021.cha change

Searching only eng_USA_Brown/sarah021.cha. Search all transcripts instead

5 matches in 4 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

Concordance Utterances Distribution Matched forms

yeah # the Easter_Bunny's gonna come to you . MOT · eng_USA_Brown/sarah021.cha, line 58 · Sarah 2;07
come on # get out of there . MOT · eng_USA_Brown/sarah021.cha, line 1160 · Sarah 2;07
come (h)ere . MOT · eng_USA_Brown/sarah021.cha, line 1407 · Sarah 2;07
come (h)ere # come (h)ere +... MOT · eng_USA_Brown/sarah021.cha, line 1409 · Sarah 2;07
come (h)ere # come (h)ere +... MOT · eng_USA_Brown/sarah021.cha, line 1409 · Sarah 2;07

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

01234

2;062;072;082;09

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
eng_USA_Brown/sarah021.cha	Sarah	2;7.12	1,452	4	5	3.44

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.